8-bit Open on Hugging Face
Parameters
5.0B
Weights (est.)
≈ 5.7 GB
Mac memory (est.)
16 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/medgemma-1.5-4b-it-8bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- —
- Vendor
- —
- Task
- Vision + text
- Quantisation
- 8-bit
- Licence
- health-ai-developer-foundations
- Downloads
- 175 in the last 30 days · 2.4K all time · 2 likes
- Published
- 2026-01-14 · updated 2026-01-14 (10mo ago)
- Tags
- gemma3, medical, radiology, clinical-reasoning, dermatology, pathology, ophthalmology, chest-x-ray